• Regeln für den Video-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Einteilung

    - Folgende Formate gehören in die angegeben Bereiche:
    - Filme: Encodierte Filme von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format DivX, XviD und x264.
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    - HD: Encodierte Filme mit der Auflösung 720p oder darüber von BluRay, DVD, R5, TV, Screener sowie Telesyncs im Format x264.
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    - Bei einem Sammelthread für eine Staffel entfällt aus dem Releasename natürlich der Name der Folge. Beispiel: Die Simpsons S21 German DVDRip XviD - ITG
    - Dementsprechend sind also u.a. verboten: Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist.

    Aufbau des Angebots und Threadtitel

    Der Titel nach folgendem Muster erstellt zu werden. <Name> [3D] [Staffel] [German] <Jahr> <Tonspur> [DL] [Auflösung] <Quelle> <Codec> - <Group>
    Beispiel: The Dark Knight German 2008 AC3 DVDRip XviD - iND
    Beispiel: The Dark Knight 2008 DTS DL BDRip x264 - iND
    Beispiel: The Dark Knight 2008 AC3 DL BDRip XviD - iND
    Beispiel: The Dark Knight German 2008 AC3 720p BluRay x264 iND
    Beispiel: The Dark Knight 2008 DTS DL 1080p BluRay x264 iND
    Beispiel: Die Simpsons S01 German AC3 DVDRip XviD iND
    Beispiel: Die Simpsons S20 German AC3 720p BluRay x264 iND
    Beispiel: Sword Art Online II Ger Sub 2014 AAC 1080p WEBRip x264 - peppermint
    Entsprechend sind also u.a. verboten: Sonderzeichen wie Klammern, Sterne, Ausrufezeichen, Unterstriche, Anführungszeichen / Erweiterungen wie "Tipp", "empfehlenswert", "only", "reup", usw. / jegliche andere Zusatzinformation oder Ergänzung, welche nicht in obiger Beschreibung zu finden ist
    Ausnahmen hiervon können in den Bereichen geregelt sein.

    Die Beiträge sollen wie folgt aufgebaut werden:
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    kurze Inhaltsbeschreibung
    Format, Größe, Dauer sind gut lesbar für Downloader außerhalb des Spoilers zu vermerken
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    Sind keine Nfo vorhanden z.B. Eigenpublikationen, sind im Spoiler folgende Dateiinformationen zusätzlich anzugeben :
    Quelle
    Video (Auflösung und Bitrate)
    Ton (Sprache, Format und Bitrate der einzelnen Spuren)
    Untertitel (sofern vorhanden)
    Hosterangabe in Textform außerhalb eines Spoiler mit allen enthaltenen Hostern.
    Bei SD kann auf diese zusätzlichen Dateiinformationen verzichtet werden.

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    Spoiler im Spoiler mit Kommentaren :"Schon Bedankt?" sind unerwünscht.


    Releases

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    - Im Serien-Bereich gilt speziell: Wenn ein Retail vor Abschluss einer laufenden Staffel erscheint, darf diese Staffel noch zu Ende gebracht werden.62
    - Gleiche Releases sind unbedingt zusammenzufassen. Das bedeutet, es ist zwingend erforderlich, vor dem Erstellen eines Themas per Suchfunktion zu überprüfen, ob bereits ein Beitrag mit demselben Release besteht. Ist dies der Fall, ist der bereits vorhandene Beitrag zu verwenden.
    - P2P und Scene Releases dürfen nicht verändert oder gar unter einem iND Tag eingestellt werden.


    Support, Diskussionen und Suche

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    Verbote

    - Untersagt sind mehrere Formate in einem einzigen Angebotsthread, wie beispielsweise das gleichzeitige Anbieten von DivX/XviD, 720p und 1080p in einem Thread. Pro Format, Release und Auflösung ist ein eigener Thread zu eröffnen.
    - Grundsätzlich ebenso verboten sind Dupes. Uploader haben sich an geeigneter Stelle darüber zu informieren, ob es sich bei einem Release um ein Dupe handelt.
    - Gefakte, nur teilweise lauffähige oder unvollständige Angebote sind untersagt. Dies gilt auch für eigene Publikationen, die augenscheinlich nicht selbst von z.B. einer DVD gerippt wurden. Laufende Serien, bei denen noch nicht alle Folgen verfügbar sind, dürfen erstellt und regelmäßig geupdatet werden.
    - Untersagt sind Angebote, welche nur und ausschließlich in einer anderen Sprache als deutsch oder englisch vorliegen. Ausnahmen sind VORHER mit den Moderatoren zu klären.


    Verstoß gegen die Regeln

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Practical Python Cisco Network Automation
.MP4, AVC, 700 kbps, 1920x1080 | English, AAC, 112 kbps, 2 Ch | 2 hrs 38 mins | 739 MB
Instructor: David Bombal​

Network is changing. In this new world of network automation and network programmability, you need to learn Python. Why? Because Python is one of the basic skills of a next generation network engineer. This course is not like other Python courses. I am not going to teach you Python from a developer's point of view. The course focuses on Cisco IOS network automation - not software development or server automation. The course is practical and applicable to network engineers today. After attending this course, you will be able to start automating your Cisco networks right away.

More Info

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Learn Python by Creating a Fun Idle Business Tycoon Game
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 hour | Size: 2.93 GB​

The fun way to learn Python and essential Design Patterns for Game, Business Application, and Enterprise development

What Will I Learn?

Write Python applications of increasing difficulty and complexity
Understand basic game theory and design
Have a strong foundation to learning more advanced Python topics and concepts
Learn incremental develop and refactoring skills

Requirements

Basic Computer Literacy Skills
Ability to download programs and install them on Windows, Ubuntu, or Mac
Some previous programming experience is helpful and will make the course easier, but it is not required.

Description

From the creator of the best selling Idle C# Unity Gaming course!

Python is a power programming language that will dramatically increase your demand in practically any IT related field. The main purpose of this course to create the most fun way possible to learn Python. We start at the very beginning and have worked to put together the perfectly paced course to introduce you to Python programming in a fast, fun way.

This course focuses on teaching you what you need to know to get results right away. Starting with a twist on "hello world', we begin by creating a simple text business game that introduces you to the important features of the Python language. Instead of a boring course that walks you through the language like it was a reference book, this course focuses on getting results and learning at a rapid pace.

This course is not an exhaustive reference guide to Python. This course is a fun way to learn Python and get a solid foundation so that you can feel comfortable and confident developing your own Python applications. It does not cover every function and language feature you will need to know to be a successful Python developer. As we expand this course with new lectures and bonus content we will be exploring additional Python language features. Please provide feedback on any features you would like see added to the game.

You will go from simple variables, to loops, to classes, and lists in a matter of hours. All along the way you will see your idle game grow in complexity. You will be encouraged with challenges along the way to test your skills. Even better, the idle game business tycoon game you create can easily be extended with your own ideas.

This course is for anyone learning Python. Once you complete this course you will have the skills to build Python applications in any field from Neural Networks and Deep Learning to Python based Business Application platforms like Odoo.

The FUN way to learn the basics of Python

IWe start at the beginning learning how to make a simple little 'tycoon' game using print statements and text input. You will learn how to create and update variables, if statements, creating custom functions, loops, and other basic Python concepts. After now producing more than 200 courses and tutorials on OdooClass, Teachable and Udemy I believe you will find this a very well paced course.

Learning Practical Design Patterns and Python Programming Techniques

After we have our basic game up and running we begin teaching other important skills that will be valuable to you as a Python programmer. You learn about the factory design pattern to create our instances of our stores. You learn about class (or static) methods and how you can use them to better simplify your design and better compose your game architecture. During this phase your game becomes more complex with more features.

Creating a graphical interface for our game

With our game framework defined and basic operations in place we will be prepared to integrate Tkinter and build a GUI for a major upgrade to our game. It is at this stage we will have a fully working idle game that you can build on as you please. You will learn how to integrate the Tkinter library and setup a Game Manager. Then we see how to create a timer with a visual progress bar to show when our store will return money. At this point you will be well on your way to becoming a confident Python developer.

Integrating Libraries and Advanced Python

Now that we have a fully functional game we can continue to build and add more advanced features. As this course is for anyone wanting to learn Python, not just game developers, there are still great features we can add to our game to make it more easy to maintain. Specifically loading our store information out of a data file instead of hard coding values in our application. So we teach you how to create a data file and load that data into Python. Important skills for anyone wishing to use Python for data science, machine learning, or enterprise business applications.

Planned Course Upgrades

One of the nice things about a Udemy course is that we can and do add additional content after the course is launched. For example, our C# Idle Tycoon Course has been updated multiple times with many hours of bonus content. During the creation of this course there were several language features we simply didn't need to use for our design. In future lectures we will cover those design features and build the course up until it represents all core features of the language.

Taught by Greg Moss, an Enterprise System Architect & Developer for more than 30 years

I first started writing BASIC computer programs in 1981 on an Apple II. It quickly became clear that there was an opportunity to make money writing programs for local businesses. I was a sophomore in high school when I got my first 'paid' programming job. Writing an application that would calculate interest payments on investments for First American Acceptance Corporation. A few months later I was hired to write a program that would analyze student surveys for John A Logan College.

Since that time I have learned dozens of programming languages and developed literally thousands of applications. I've developed applications in a wide range of industries including medical, government, non-profit, telecommunications, eCommerce, banking & finance, manufacturing, law enforcement, education, game industry, and political organizations.

Here on Udemy I have created the best selling course on Idle game development, Developing an Idle Game in C#.

In this course I will teach you how to get the job done. I'll introduce you to the development concepts and system composition I've used to create many games and applications. If you are a new programmer and this is your first course you will naturally need to compliment this course with additional books, resources, and courses.

More Information

This course uses Python 3.5 to implement the game. It is recommended that you are comfortable installing software and making basic configuration changes to your computer. This course is designed to give you a solid foundation for learning new content.

Who is the target audience?

Anyone wanting to learn Python for Business, Gaming, or Data Science Applications
Someone looking for a fun way to learn the Python language
Programmers wanting to learn how to create applications with a GUI interface in Python

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Matthew Weiss - Workshop 8 Mixing 808s
647 MB | MP4 | Genre: eLearning | Language: English |
Learn tips, tricks and techniques for getting great sounding 808s in a variety of contexts and genres.​

•What is an 808? - Constructing and deconstructing the modern 808
•How to add interest, excitement and personality to an 808
•Tips for making 808s translate well on smaller speakers
•How to use compression to manipulate the sustain of an 808
•How to use a sub-harmonic generator to get a deeper 808 sound
•How to use bit-crushing as a sound design effect with 808s
•How to highlight the distortion/saturation of an 808 in a mix
•A simple EQ trick to highlight the best overtones of an 808
•How to navigate mixing low end synths with an 808
•How to make a kick drum/808 combo as punchy as possible
•A counterintuitive mixing trick to "add bass" by removing bass



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Functional JavaScript Libraries Playbook
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | 434 MB
Genre: eLearning | Language: English​

This course is about exploring some popular functional JavaScript libraries and seeing what they're all about. We're heavy on demo and light on slides. If you aren't familiar with functional tenets, we cover them right at the beginning.

Developers tend to come across functional programming (FP) as they gain more experience and are looking for ways to write cleaner, more maintainable code. Unfortunately, over the last few years, "Functional JavaScript Development" has taken on a shiny-object status. Lots of articles are being written about it and it's approaching a religious fervor - either for it or against it. That leaves people who just want to know what it's all about, and if it can help them with their programming tasks, stuck in the middle. If you haven't specifically done functional development, I would bet that you've been impacted by it, and have probably even written some functional code, even if you didn't know it. Functional code is predictable, modular and easier to reason about. That doesn't mean it's perfect, though, or right for every situation. In this course, Functional JavaScript Libraries Playbook, you'll learn some of the popular functional JavaScript libraries and seeing what they're all about. This course will be heavy on demos and as light on slides as I could get away with. First, you'll discover functional tenets like pure functions, currying and composition. Next, you'll explore how these libraries work inside your React, Vue, or Angular projects or really any JavaScript code you're writing with any framework, other libraries, or just plain vanilla JavaScript. By the end of this course, you'll have been exposed to six libraries and gotten a good look at what they provide and how they might help you write better code. Before beginning the course, you should be familiar with JavaScript development, but you don't need to have any functional programming experience as the course includes what is likely the world's fastest functional programming overview right up front, with code and pretty pictures and everything you need to get started.





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The Complete Self-Driving Car Course - Applied Deep Learning (2018)
WEBRip | English | MP4 + Project Files | 1280 x 720 | AVC ~1819 kbps | 30 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | 16:12:30 | 8.26 GB
Genre: Video Tutorial
Learn to use Deep Learning, Computer Vision and Machine Learning techniques to simulate a Self-Driving Car with Python. Self-driving cars have rapidly become one of the most transformative technologies to emerge. Fuelled by Deep Learning algorithms, they are continuously driving our society forward and creating new opportunities in the mobility sector.​

Deep Learning jobs command some of the highest salaries in the development world. This is the first, and the only course which makes practical use of Deep Learning, and applies it to building a self-driving car, one of the most disruptive technologies in the world today.

Learn & Master Deep Leaning in this fun and exciting course with top instructor Rayan Slim. With over 28000 students, Rayan is a highly rated and experienced instructor who has followed a "learn by doing" style to create this amazing course.

You'll go from beginner to Deep Learning expert and your instructor will complete each task with you step by step on screen.

By the end of the course, you will have built a fully functional self-driving car fuelled entirely by Deep Learning. This powerful simulation will impress even the most senior developers and ensure you have hands-on skills in neural networks that you can bring to any project or company.

This course will show you how to:

Use Computer Vision techniques via OpenCV to identify lane lines for a self-driving car.
Learn to train a Perceptron-based Neural Network to classify between binary classes.
Learn to train Convolutional Neural Networks to identify between various traffic signs.
Train Deep Neural Networks to fit complex datasets.
Master Keras, a power Neural Network library written in Python.
Build and train a fully functional self-driving car to drive on its own!

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Introduction to Crazy, Sexy Art of Boudoir
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 17M | 706 MB
Genre: eLearning | Language: English​

Learn how to make any girl look amazing and to make her feel totally beautiful. Transform everyday girls into goddesses.

Learn how to market your boudoir work to clients and as artwork and how to get this lucrative business off the ground.

Cherie Steinberg and Hedley Jones will show you great posing techniques and angles that work for any woman to make them look slim and feel at ease.

They will reveal posing and lighting secrets, as well as secrets for great retouching and finishing.





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Camtasia 2018 for Mac Essential Training
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 11M | 850 MB
Genre: eLearning | Language: English​

Get started with Camtasia 2018, a complete elearning and screencast creation suite that allows you to easily capture and edit high-quality video tutorials and presentations. In this course, instructor Corbin Anderson covers the essential concepts you need to know to start creating your own video content with Camtasia for Mac. Corbin kicks off the course by demonstrating how to set up, record, edit, and share a video. Next, he helps you enhance that video using a few intermediate techniques, including annotations, animations, and transitions. To wrap things up, Corbin shares how to polish your video by removing noise and adding music, as well as how to create reusable library assets and archive your completed project.




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Scraping Data From the Web
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 266 MB
Genre: eLearning | Language: English​

Almost any information you want is available on the Internet. Web scraping is a key tool for data mining that information allowing for web page exploration and collection for a variety of reporting. The tools and techniques used in this course allow for data to be collected that would otherwise not be easily accessible without robotic assistance.

What you'll learn

An introduction to the Beautiful Soup Python package
How to scrape a web page with Beautiful Soup
An introduction to the Scrapy Python package
How to crawl a website with Scrapy
Web scraping considerations



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Six Sigma Green Belt Using Minitab
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | Lec: 30 | 296 MB
Genre: eLearning | Language: English​

six sigma methodology. six sigma green belt.statistical process control. gage r&r study. minitab training.

This is a beginner six six sigma yellow and green belt and minitab course, useful if you want a six sigma for dummies type experience.

We cover statistics for six sigma, six sigma process capability, statistical process control, process capability (including process capability calculation), and measurement system analysis and evaluation. We look at some msa studies you can conduct. We show you type 1 gage study, gage r&r study, and gage bias and linearity study. For statistical process control we will look at the XBar-R and how to choose the appropriate control chart. For the process capability section, the main lesson will have you looking at a comprehensive capability analysis.

While you learn six sigma methodology, you will also get minitab training. We will show you how to use minitab.

If you want a friendly, non-intimidating, and direct teaching style that lets you ease into six sigma methodology, while learning how to use Minitab, this course will be perfect for you.




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Managing in Difficult Times
MP4 | Video: 720p | Duration: 1:07:48 | English | Subtitles: VTT | 516.4 MB

​




Tough times separate great leaders from the rest. What do leaders do to manage effectively in difficult times? It's as much about what they do to prepare as it is about how they react. Jan Rutherford introduces to important tools for keeping you and your team focused, inspired, and effective during times of change or crisis. Learn how to build self-awareness, achieve clarity and focus, keep innovating despite volatility, and develop a committed team that is resilient in the face of change. He also shares innovative strategies to cut costs, and reframe challenges as opportunities for your team.



Topics include:



Building self-awareness
Staying focused
Adopting a growth mindset
Developing a committed team
Teaming instead of leading
Reducing costs
Turning adversity into opportunity

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Understanding Genetic Algorithms and Genetic Programming
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 15M | 431 MB
Genre: eLearning | Language: English​

Artificial intelligence is everywhere these days. This course teaches you how to implement two types of AI using simple C#. You'll use concepts from biology to evolve solutions to complex problems like optimal subset selection and data ordering.

Certain problems can't be solved by brute force. Combinatorial problems that involve finding an optimal ordering or subset of data can be extremely challenging to solve if the number of items is too large since the time to test each possible solution can often be prohibitive. In this course, you'll learn how to write artificial intelligence code that uses concepts from biology (like evolution, genetic crossover, and mutation) so the software can evolve optimal solutions to complex problems. The code will be written in fairly simple C#, and no external libraries will be used, so you'll understand all of the details. First, you'll learn how to write a genetic algorithm, which is a technique to manipulate data. You'll learn about different ways to represent potential solutions, as well as techniques for evolving solutions over a number of generations. Different types of crossover and mutation will be discussed, as well as various factors related to evaluating each candidate solution's fitness, which influences which candidates are selected for reproduction. After looking at how genetic algorithms can be used to find optimal solutions for data, you'll learn about genetic programming, which uses similar concepts but evolves actual executable code, rather than simply manipulating data. Genetic programming is particularly well-suited to finding an expression that fits a set of training data. The results of this technique can be used for prediction, estimates, and the like. Finally, you'll discover how genetic programming can be used to perform many complex tasks - controlling processes and making decisions, in particular. The code that results can be quite complex, balancing many different competing factors and constraints. By the end of this course, you'll have a solid foundation to apply these concepts to your own programs.

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Deep Learning: Image Recognition
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 41M | 278 MB
Genre: eLearning | Language: English​

Thanks to deep learning, image recognition systems have improved and are now used for everything from searching photo libraries to generating text-based descriptions of photographs. In this course, learn how to build a deep neural network that can recognize objects in photographs. Find out how to adjust state-of-the-art deep neural networks to recognize new objects, without the need to retrain the network. Explore cloud-based image recognition APIs that you can use as an alternative to building your own systems. Learn the steps involved to start building and deploying your own image recognition system.



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